Oliver Gäfvert: An algebraic perspective on artificial neural networks

Abstract: I will talk about the algebraic objects associated to polynomial neural networks in the context of classification problems. These include the semi-algebraic set of network parameters solving the classification problem, and the resulting decision boundary of the solution. The focus of the talk is to relate properties of these objects to the architecture of the network, and comparing shallow and deep networks.